Pith Number
pith:TBHXXXZB
pith:2020:TBHXXXZBMTDOHVCDINE75KAIY2
not attested
not anchored
not stored
refs pending
Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning
arxiv:2010.10029 v2 · 2020-10-19 · cs.LG · cs.FL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TBHXXXZBMTDOHVCDINE75KAIY2}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T03:46:32.641406Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
984f7bdf2164c6e3d4434349fea808c6b47d3145d1c1e4f31b630a2aeadd1b75
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TBHXXXZBMTDOHVCDINE75KAIY2 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 984f7bdf2164c6e3d4434349fea808c6b47d3145d1c1e4f31b630a2aeadd1b75
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "75c56b4404330c0e78dc3e5a9102aa6c30028f747024d93a19b3188ef7bb32a9",
"cross_cats_sorted": [
"cs.FL"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-10-19T15:28:00Z",
"title_canon_sha256": "83ce1ccd21cceabc97fabce79187c74d8fb7ac1b0c0191e336cc8c363aed6c69"
},
"schema_version": "1.0",
"source": {
"id": "2010.10029",
"kind": "arxiv",
"version": 2
}
}